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David Leigh Donoho (born March 5, 1957) is an American statistician. He is a professor of statistics at Stanford University, where he is also the Anne T. and Robert M. Bass Professor in the Humanities and Sciences.
Professor of Statistics. David Donoho has studied the exploitation of sparse signals in signal recovery, including for denoising, superresolution, and solution of underdetermined equations. His research with collaborators showed that ell-1 penalization was an effective and even optimal way to exploit sparsity of the object to be recovered.
2515. 2009. Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data. DL Donoho, C Grimes. Proceedings of the National Academy of Sciences 100 (10), 5591-5596. , 2003. 2258. 2003. New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities.
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Professor, Statistics. Member, Institute for Computational and Mathematical Engineering (ICME) SEQUOIA 128. David Donoho is part of Stanford Profiles, official site for faculty, postdocs, students and staff information (Expertise, Bio, Research, Publications, and more).
David L. Donoho. Anne T. and Robert M. Bass Professor in the Humanities and Sciences. Professor of Statistics. Stanford University. Education. NSF Postdoctoral Fellow, Department of Statistics, University of California, Berkeley. Ph.D. (Statistics) Harvard University, 1984. Thesis adviser: P. J. Huber
Professor David Donoho is the Anne T. and Robert M. Bass Professor of Humanities and Sciences and Professor of Statistics at Stanford University. He has made fundamental contributions to theoretical and computational statistics, and his algorithms have contributed significantly to our understanding of how to work with sparse data.
David DONOHO | Professor (Full) | Stanford University, CA | SU | Department of Statistics | Research profile. About. 272. Publications. 99,050. Reads. 68,527. Citations. Introduction. Skills...
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